I'm not going to bother to read 2/3ds of this thread. It was started with a false premise and has been propagated by some of the sloppiest and extraneous thinking imaginable (with a couple of actual nuggets of information thrown in to keep me interested). The"best case" numbers in the CDC release are obviously, as has been noted, empirically questionable, given our "lived experience", which had me scratching my head. I've dug into the underlying document, and I have some idea why. This is based entirely upon March numbers. We've had a LOT of experience since then. Secondly, the parameters are based upon the most conservative of available numbers, the "Preliminary COVID-19 estimates" - we're talking about data that is not only very old, but is based upon "earliest best guess". It's not ENTIRELY garbage, but why they chose to put this out now is a real question. (My guess is to "control the narrative" - i.e., a political, not scientific rationale.*)
Although it should be noted that 0.4 is ridiculously optimistic, that is still 3 times more deadly than a typical flu. I've personally used a "conservative" number of 0.65, which is what early models used - and those models have proved most accurate. Even a rough estimate yields a ballpark in that range: A "bad" flu year (7-9 month season) is 60,000 fatalities. Assume the high end, that's 285 deaths a day. We've been at this 2-3 months, averaging 1200+ deaths a day. At the LOW end that about 4.5 times a bad flu season - which also happens to correlate with a .65% mortality rate. If the CDC number were accurate, we'd be looking at 69,781 deaths - which does not comport with actual reporting. I'm going to stick to my number, thankyouverymuch. So far the IHME projections have been spot on, so I think I'll trust them on this.
*There is an alternative explanation: This is a cry for help from the scientists at CDC - by putting this document out, they are letting other scientists know that/how their work is being manipulated by "leadership".